Intelligent wheeled mobile robots for blind navigation application

Abstract

Purpose Visually impaired people have long been living in the dark. They cannot realize the colorful world with their vision, so they rely on hearing, touch and smell to feel the space they live in. Lacking image information, they face challenges in the external environment and barrier spaces. They face danger that is hundreds of times higher than that faced by normal people. Especially during outdoor activities, they can only explore the surrounding environment aided by their hearing and crutches and then based on a vague impression speculate where they are located. To let the blind confidently take each step, this paper proposes sticking the electronic tag of the radio-frequency identification (RFID) system on the back of guide bricks. Design/methodology/approach Thus, the RFID reader, ultrasonic sensor and voice chip on a wheeled mobile robot link the front end to the crutch. Once the blind person nears a guide brick, the RFID will read the message on the tag through the voice broadcast system, and a voice will inform the visually impaired person of the direction to walk and information of the surrounding environment. In addition, the CMOS image sensor set up in the wheeled mobile robot is used to detect the black marking on the guide brick and to guide the blind to walk forward or turn around between the two markings. Finally, the lithium battery charging control unit was installed on the wheeled mobile robot. The ATtiny25 microcontroller conducts the battery charge and discharge control and monitoring of the current battery capacity. Findings The development of this system will let visually impaired people acquire environmental information, road guidance function and nearby traffic information. Originality/value Through rich spatial environment messages, the blind can have the confidence and courage to go outside.

Robust Navigational Control of a Two-Wheeled Self-Balancing Robot in a Sensed Environment

“…The author was able to enhance the robot tracking performance with an assurance that the error convergence, the robust adaptation laws for the FCMAC and compensated controller were derived from the stability analysis. The research in [14] is slightly different from ours, however, it reveals the development of radiofrequency identification system and voice broadcast system on a wheeled mobile robot. The main research purpose was to establish a wheeled mobile robot on a working platform of the blind guide system and to assimilate the progressively sophisticated radio frequency identification (RFID) system and voice broadcast mechanism to read the concealed messages in the guide bricks or the Braille in public places.…”